摘要
针对水下无线光通信(Underwater Optical Wireless Communication,UOWC)系统中由于低信噪比导致的接收光信号被淹没在强噪声中难以检测的问题,提出一种基于自适应随机共振(Adaptive Stochastic Resonance,ASR)的水下弱光信号检测方法。本文通过分析水下弱光信号的特点及随机共振的检测机理,引入二次采样,使随机共振可以适用于任意频率下的光信号检测。分析影响随机共振系统的参数,提出改进蚁群算法与随机共振相结合的检测方法,根据检测性能动态的调整系统参数,使系统达到最优匹配状态,实现自适应随机共振。为验证方法的有效性,搭建了基于雪崩光电二极管(Avalanche Photodiode,APD)的UOWC实验系统,实验结果表明,在信噪比SNR=-4.559 5 dB时,误码率为5×10^(-4),进一步证明了基于自适应随机共振的水下弱光信号检测可以显著提高UOWC接收机的误码率性能。
In underwater optical wireless communication(UOWC)systems,the low signal-to-noise ratio causes received optical signals to be submerged in strong noise. To solve this problem,a detection method for underwater weak optical signals based on adaptive stochastic resonance(ASR)is proposed. In this study,the characteristics of underwater weak light signals and the detection mechanism of stochastic resonance are analyzed. The concept of twice sampling is introduced to enable the application of stochastic resonance to optical signal detection at any frequency. Additionally,the parameters that affected the stochastic resonance system are evaluated,and a detection method combining the improved ant colony algorithm and stochastic resonance is proposed. The system dynamically adjusts the system parameters based on the detection performance,such that the entire system achieves the optimal matching state to realize ASR. To verify the effectiveness of the method,a UOWC experimental system based on an avalanche photodiode is built. The experimental results show that the bit error rate is 5×10^(-4)when SNR=-4. 559 5 dB. Thus,underwater weak light signal detection based on ASR is proved to significantly improve the bit error rate performance of UOWC receivers.
作者
张建磊
兰香
杨祎
贺锋涛
朱云周
ZHANG Jianlei;LAN Xiang;YANG Yi;HE Fengtao;ZHU Yunzhou(School of Electronic Engineering,Xi′an University of Posts&Telecommunications,Xi′an 710121,China;Xi′an Precision Machinery Research Institute,Chinese Academy of Sciences,Xi′an 710077,China;Science and Technology on Underwater Information and Control Laboratory,Xi′an 710077,China)
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2022年第12期1383-1393,共11页
Optics and Precision Engineering
基金
装备预研教育部联合基金项目(No.8091B032130)
国家自然科学基金项目(No.61805199)
陕西省技术创新引导专项基金项目(No.2020TG-001)
水下信息与控制国家重点实验室基金项目。
关键词
水下无线光通信
低信噪比
随机共振
蚁群算法
underwater optical wireless communication
low signal-to-noise ratio
stochastic resonance
ant colony algorithm
